Eran Segal - RankMe

61 papers A* 4A 3B 6Misc 3Journal 37Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Gait Foundation Model Predicts Multi-System Health Phenotypes from 3D Skeletal Motion. CoRR Adam Gabet, Sarah Kohn, Guy Lutsker, Shira Gelman, Anastasia Godneva, Gil Sasson, Arad Zulti, David Krongauz, Rotem Shaulitch, Assaf Rotem, Ohad Doron, Yuval Brodsky, Adina Weinberger, Eran Segal
2026	J	`jnl`	DoAtlas-1: A Causal Compilation Paradigm for Clinical AI. CoRR Yulong Li, Jianxu Chen, Xiwei Liu, Chuanyue Suo, Rong Xia, Zhixiang Lu, Yichen Li, Xinlin Zhuang, Niranjana Arun Menon, Yutong Xie, Eran Segal, Imran Razzak
2026	J	`jnl`	MedMO: Grounding and Understanding Multimodal Large Language Model for Medical Images. CoRR Ankan Deria, Komal Kumar, Adinath Madhavrao Dukre, Eran Segal, Salman Khan, Imran Razzak
2026	J	`jnl`	MoHETS: Long-term Time Series Forecasting with Mixture-of-Heterogeneous-Experts. CoRR Evandro S. Ortigossa, Guy Lutsker, Eran Segal
2026	J	`jnl`	Seg-MoE: Multi-Resolution Segment-wise Mixture-of-Experts for Time Series Forecasting Transformers. CoRR Evandro S. Ortigossa, Eran Segal
2026	J	`jnl`	VoxKnesset: A Large-Scale Longitudinal Hebrew Speech Dataset for Aging Speaker Modeling. CoRR Yanir Marmor, Arad Zulti, David Krongauz, Adam Gabet, Yoad Snapir, Yair Lifshitz, Eran Segal
2025	A*	`conf`	Causal Representation Learning from Multimodal Biomedical Observations. ICLR Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang
2025	J	`jnl`	Improving Diseases Predictions Utilizing External Bio-Banks. CoRR Hido Pinto, Eran Segal
2025	J	`jnl`	Phenome-Wide Multi-Omics Integration Uncovers Distinct Archetypes of Human Aging. CoRR Huifa Li, Feilong Tang, Haochen Xue, Yulong Li, Xinlin Zhuang, Bin Zhang, Eran Segal, Imran Razzak
2025	J	`jnl`	ProtoMol: Enhancing Molecular Property Prediction via Prototype-Guided Multimodal Learning. CoRR Yingxu Wang, Kunyu Zhang, Jiaxin Huang, Nan Yin, Siwei Liu, Eran Segal
2025	J	`jnl`	ProtoMol: enhancing molecular property prediction via prototype-guided multimodal learning. Briefings Bioinform. Yingxu Wang, Kunyu Zhang, Jiaxin Huang, Nan Yin, Siwei Liu, Eran Segal
2024	J	`jnl`	COMPRER: A Multimodal Multi-Objective Pretraining Framework for Enhanced Medical Image Representation. CoRR Guy Lutsker, Hagai Rossman, Nastya Godiva, Eran Segal
2024	J	`jnl`	Causal Representation Learning from Multimodal Biological Observations. CoRR Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang
2024	J	`jnl`	From Glucose Patterns to Health Outcomes: A Generalizable Foundation Model for Continuous Glucose Monitor Data Analysis. CoRR Guy Lutsker, Gal Sapir, Anastasia Godneva, Smadar Shilo, Jerry R. Greenfield, Dorit Samocha-Bonet, Shie Mannor, Eli Meirom, Gal Chechik, Hagai Rossman, Eran Segal
2024	J	`jnl`	Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes. CoRR Li Zhang, Basu Jindal, Ahmed Alaa, Robert Weinreb, David Wilson, Eran Segal, James Zou, Pengtao Xie
2024	J	`jnl`	SGAC: A Graph Neural Network Framework for Imbalanced and Structure-Aware AMP Classification. CoRR Yingxu Wang, Victor Liang, Nan Yin, Siwei Liu, Eran Segal
2024	J	`jnl`	Toward AI-Driven Digital Organism: Multiscale Foundation Models for Predicting, Simulating and Programming Biology at All Levels. CoRR Le Song, Eran Segal, Eric P. Xing
2023	J	`jnl`	A Multimodal Dataset of 21, 412 Recorded Nights for Sleep and Respiratory Research. CoRR Alon Diament, Maria Gorodetski, Adam Jankelow, Ayya Keshet, Tal Shor, Daphna Weissglas-Volkov, Hagai Rossman, Eran Segal
2022	J	`jnl`	BIPS - A code base for designing and coding of a Phage ImmunoPrecipitation Oligo Library. PLoS Comput. Biol. Sigal Leviatan, Iris N. Kalka, Thomas Vogl, Shelley Klompas, Adina Weinberger, Eran Segal
2021	A	`conf`	Harnessing Big Data for Personalized Medicine. WSDM Eran Segal
2019	J	`jnl`	Structural variation in the gut microbiome associates with host health. Nat. David Zeevi, Tal Korem, Anastasia Godneva, Noam Bar, Alexander Kurilshikov, Maya Lotan-Pompan, Adina Weinberger, Jingyuan Fu, Cisca Wijmenga, Alexandra Zhernakova, Eran Segal
2018	J	`jnl`	Regularization Learning Networks. CoRR Ira Shavitt, Eran Segal
2018	A*	`conf`	Regularization Learning Networks: Deep Learning for Tabular Datasets. NeurIPS Ira Shavitt, Eran Segal
2017	J	`jnl`	Sequence features of viral and human Internal Ribosome Entry Sites predictive of their activity. PLoS Comput. Biol. Alexey A. Gritsenko, Shira Weingarten-Gabbay, Shani Elias-Kirma, Ronit Nir, Dick de Ridder, Eran Segal
2015	J	`jnl`	GenoExp: a web tool for predicting gene expression levels from single nucleotide polymorphisms. Bioinform. Ohad Manor, Eran Segal
2015	—	`conf`	Use of a Computerized Clinical System as a Monitoring Tool for Infection Control. MIE Stas Zusman, Alexander Axel, Liat Touderis, Pnina Schlaeffer, Eran Segal
2013	J	`jnl`	Exact Inference in Networks with Discrete Children of Continuous Parents CoRR Uri Lerner, Eran Segal, Daphne Koller
2013	J	`jnl`	Measurements of the Impact of 3′ End Sequences on Gene Expression Reveal Wide Range and Sequence Dependent Effects. PLoS Comput. Biol. Ophir Shalem, Lucas B. Carey, Danny Zeevi, Eilon Sharon, Leeat Keren, Adina Weinberger, Orna Dahan, Yitzhak Pilpel, Eran Segal
2013	J	`jnl`	Predicting Disease Risk Using Bootstrap Ranking and Classification Algorithms. PLoS Comput. Biol. Ohad Manor, Eran Segal
2012	J	`jnl`	Learning Module Networks CoRR Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman
2010	J	`jnl`	Widespread Compensatory Evolution Conserves DNA-Encoded Nucleosome Organization in Yeast. PLoS Comput. Biol. Ephraim Kenigsberg, Amir Bar, Eran Segal, Amos Tanay
2009	B	`conf`	Incorporating Nucleosomes into Thermodynamic Models of Transcription Regulation. RECOMB Tali Raveh-Sadka, Michal Levo, Eran Segal
2009	J	`jnl`	Modeling interactions between adjacent nucleosomes improves genome-wide predictions of nucleosome occupancy. Bioinform. Shai Lubliner, Eran Segal
2008	J	`jnl`	A Feature-Based Approach to Modeling Protein-DNA Interactions. PLoS Comput. Biol. Eilon Sharon, Shai Lubliner, Eran Segal
2008	J	`jnl`	Distinct Modes of Regulation by Chromatin Encoded through Nucleosome Positioning Signals. PLoS Comput. Biol. Yair Field, Noam Kaplan, Yvonne Fondufe-Mittendorf, Irene K. Moore, Eilon Sharon, Yaniv Lubling, Jonathan Widom, Eran Segal
2008	J	`jnl`	Estimating Cell Depth from Somatic Mutations. PLoS Comput. Biol. Adam Wasserstrom, Dan Frumkin, Rivka Adar, Shalev Itzkovitz, Tomer Stern, Shai Kaplan, Gabi Shefer, Irena Shur, Lior Zangi, Yitzhak Reizel, Alon Harmelin, Yuval Dor, Nava Dekel, Yair Reisner, Dafna Benayahu, Eldad Tzahor, Eran Segal, Ehud Shapiro
2008	J	`jnl`	Preferentially Quantized Linker DNA Lengths in PLoS Comput. Biol. Ji-Ping Wang, Yvonne Fondufe-Mittendorf, Liqun Xi, Guei-Feng Tsai, Eran Segal, Jonathan Widom
2008	J	`jnl`	Using Expression Profiles of PLoS Comput. Biol. Leehod Baruch, Shalev Itzkovitz, Michal Golan-Mashiach, Ehud Shapiro, Eran Segal
2007	B	`conf`	A Feature-Based Approach to Modeling Protein-DNA Interactions. RECOMB Eilon Sharon, Eran Segal
2006	J	`jnl`	Efficient Bundle Sorting. SIAM J. Comput. Yossi Matias, Eran Segal, Jeffrey Scott Vitter
2005	J	`jnl`	A Discriminative Model for Identifying Spatial cis-Regulatory Modules. J. Comput. Biol. Eran Segal, Roded Sharan
2005	J	`jnl`	Learning Module Networks. J. Mach. Learn. Res. Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman
2005	J	`jnl`	Probabilistic Discovery of Overlapping Cellular Processes and Their Regulation. J. Comput. Biol. Alexis J. Battle, Eran Segal, Daphne Koller
2005	Misc	`conf`	Session Introduction: Joint Learning from Multiple Types of Genomic Data. Pacific Symposium on Biocomputing Alexander J. Hartemink, Eran Segal
2004	B	`conf`	A discriminative model for identifying spatial cis-regulatory modules. RECOMB Eran Segal, Roded Sharan
2004	—	`conf`	Identifying Protein-Protein Interaction Sites on a Genome-Wide Scale. NIPS Haidong Wang, Eran Segal, Asa Ben-Hur, Daphne Koller, Douglas L. Brutlag
2004	B	`conf`	Probabilistic discovery of overlapping cellular processes and their regulation. RECOMB Alexis J. Battle, Eran Segal, Daphne Koller
2004	—	`—`	Rich probabilistic models for genomic data. Eran Segal
2004	Misc	`conf`	Session Introduction. Pacific Symposium on Biocomputing Alexander J. Hartemink, Eran Segal
2003	Misc	`conf`	Decomposing Gene Expression into Cellular Processes. Pacific Symposium on Biocomputing Eran Segal, Alexis J. Battle, Daphne Koller
2003	—	`conf`	Discovering molecular pathways from protein interaction and gene expression data. ISMB (Supplement of Bioinformatics) Eran Segal, Haidong Wang, Daphne Koller
2003	—	`conf`	Genome-wide discovery of transcriptional modules from DNA sequence and gene expression. ISMB (Supplement of Bioinformatics) Eran Segal, R. Yelensky, Daphne Koller
2003	A	`conf`	Learning Module Networks. UAI Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller, Nir Friedman
2002	—	`conf`	Boosting Density Estimation. NIPS Saharon Rosset, Eran Segal
2002	B	`conf`	From promoter sequence to expression: a probabilistic framework. RECOMB Eran Segal, Yoseph Barash, Itamar Simon, Nir Friedman, Daphne Koller
2002	B	`conf`	Probabilistic hierarchical clustering for biological data. RECOMB Eran Segal, Daphne Koller
2001	A	`conf`	Exact Inference in Networks with Discrete Children of Continuous Parents. UAI Uri Lerner, Eran Segal, Daphne Koller
2001	—	`conf`	Probabilistic Abstraction Hierarchies. NIPS Eran Segal, Daphne Koller, Dirk Ormoneit
2001	A*	`conf`	Probabilistic Classification and Clustering in Relational Data. IJCAI Benjamin Taskar, Eran Segal, Daphne Koller
2001	—	`conf`	Rich probabilistic models for gene expression. ISMB (Supplement of Bioinformatics) Eran Segal, Benjamin Taskar, Audrey P. Gasch, Nir Friedman, Daphne Koller
2000	A*	`conf`	Efficient bundle sorting. SODA Yossi Matias, Eran Segal, Jeffrey Scott Vitter